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Paul Michel
PhD student
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My main area of interest revolves around developing machine learning models that can handle non-stationary data distributions, with a particular focus on natural language processing applications. Following this leitmotiv I have worked on distributional shift in the form of domain shift, adversarial perturbations and more recently continual learning of multiple tasks.
Papers13 papers
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ICLR 2021, (2021)
ACL, pp.2793-2806, (2020)
Xian Li,Paul Michel,Antonios Anastasopoulos,Yonatan Belinkov,Nadir Durrani, Orhan Firat,Philipp Koehn,Graham Neubig, Juan Pino,Hassan Sajjad
WMT (2), pp.91-102, (2019)
Xian Li,Paul Michel,Antonios Anastasopoulos,Yonatan Belinkov,Nadir Durrani, Orhan Firat,Philipp Koehn,Graham Neubig, Juan Pino,Hassan Sajjad
FOURTH CONFERENCE ON MACHINE TRANSLATION (WMT 2019), (2019): 91-102
arXiv: Computation and Language, (2019)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 14014-14024
arXiv: Computation and Language, (2019)
EMNLP, (2018): 543-553
meeting of the association for computational linguistics, (2018)
ACL (Student Research Workshop), pp.62-68, (2017)
Rep4NLP@ACL, pp.235-240, (2017)
CoRR, (2017)
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